Multi-parameter feedback Chir99021 induced dental pulp stem cell differentiation intelligent regulation and control method
By employing a multi-parameter feedback intelligent regulation method, the problems of incomplete data and lack of dynamic adaptation of regulatory strategies during the differentiation of dental pulp stem cells have been solved. This has enabled multi-dimensional and precise assessment of the differentiation status of dental pulp stem cells and efficient utilization of drug release, thereby improving differentiation efficiency and stability.
Patent Information
- Application Number
- CN202610223725.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-25
- Publication Date
- 2026-05-26
AI Technical Summary
Existing methods for regulating the differentiation of dental pulp stem cells induced by Chir99021 lack systematic data planning, incomplete data acquisition, lack of temporal alignment and noise filtering, and inability to achieve multimodal data fusion. This results in inaccurate assessment of differentiation status, lack of dynamic adaptability, and inability to optimize drug release parameters in real time, leading to low differentiation efficiency and low compound utilization.
By employing a multi-parameter feedback intelligent regulation method, a dataset of the dental pulp stem cell differentiation process is obtained. This dataset is then structured and fused with multimodal data. Multidimensional assessment and cross-modal correlation mining are performed, and targeted calibration is conducted in conjunction with historical trend data. A closed-loop iterative regulation strategy is then constructed to optimize drug release parameters and the culture microenvironment.
It enables multi-dimensional and precise assessment of the differentiation status of dental pulp stem cells, precise adaptation and efficient utilization of drug release, significantly improves differentiation efficiency and stability, and provides efficient differentiation support.